Triple

T21155105
Position Surface form Disambiguated ID Type / Status
Subject Koševo Stadium E521291 entity
Predicate shortName P43 FINISHED
Object Koševo NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Koševo | Statement: [Koševo Stadium, shortName, Koševo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koševo
Context triple: [Koševo Stadium, shortName, Koševo]
  • A. Koševo chosen
    Koševo is a residential neighborhood in Sarajevo, Bosnia and Herzegovina, known for hosting major sports and cultural facilities including the city’s main stadium.
  • B. Kruševo
    Kruševo is a historic mountain town in North Macedonia known as a center of revolutionary activity and a symbol of Macedonian national identity.
  • C. Prilep
    Prilep is a historic city in present-day North Macedonia known for its medieval fortresses, Ottoman-era architecture, and role as a regional cultural and economic center.
  • D. Delčevo
    Delčevo is a small town in eastern North Macedonia known as a local administrative and cultural center near the border with Bulgaria.
  • E. Krumovgrad
    Krumovgrad is a small town in southern Bulgaria known for its proximity to the Rhodope Mountains and its role as a local administrative and economic center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252a48788190bfdfe811fc6cfc06 completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:58 p.m.